MicroWineBar
MicroWineBar analyzes species abundance tables derived from shotgun metagenomics to visualize and statistically characterize microbial community composition.
Key Features:
- Data input and hierarchical data: Accepts tab-delimited files containing absolute or relative abundances with taxonomic annotations or other hierarchical data types, including species abundance tables from shotgun metagenomics.
- Visualization: Produces line and bar graphs to display metagenomic sample abundances.
- Richness and diversity analysis: Computes richness and diversity metrics for microbial community assessment.
- Compositional data treatment: Treats abundance data as compositional and applies center log-ratio transformation for downstream analyses.
- Multivariate and differential analysis: Performs Principal Component Analysis (PCA) and differential abundance analysis on CLR-transformed data.
Scientific Applications:
- Wine fermentation studies: Comparative analysis of metagenomic data across two different years of wine fermentation to investigate microbial dynamics.
- Human microbiome and disease research: Examination of human microbiome datasets related to colorectal cancer for differential and compositional analysis.
Methodology:
Accepts tab-delimited abundance tables with taxonomic or hierarchical annotations; treats abundance data as compositional and applies center log-ratio (CLR) transformation for PCA and differential abundance analysis; computes richness and diversity metrics and generates line and bar graph visualizations.
Topics
Details
- License:
- MIT
- Tool Type:
- command-line tool
- Programming Languages:
- Python
- Added:
- 11/14/2019
- Last Updated:
- 12/28/2020
Operations
Publications
Klincke F, Abel-Kistrup M, Saerens SMG, Rasmussen S. Analysing complex metagenomic data with MicroWineBar. Unknown Journal. 2019. doi:10.1101/742684.
DOI: 10.1101/742684